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@inproceedings{cao2015grarep,
  title={Grarep: Learning graph representations with global structural information},
  author={Cao, Shaosheng and Lu, Wei and Xu, Qiongkai},
  booktitle={Proceedings of the 24th ACM International on Conference on Information and Knowledge Management},
  pages={891--900},
  year={2015}
}

@inproceedings{cao2016deep,
  title={Deep Neural Networks for Learning Graph Representations.},
  author={Cao, Shaosheng and Lu, Wei and Xu, Qiongkai},
  booktitle={Proceedings of the 30th AAAI Conference on Artificial Intelligence},
  pages={1145--1152},
  year={2016}
}

@incollection{celma2010music,
	Author = {Celma, Oscar},
	Booktitle = {Music Recommendation and Discovery},
    Pages = {43--85},
	Title = {Music recommendation},
	Year = {2010}}

@inproceedings{chang2015heterogeneous,
	Author = {Chang, Shiyu and Han, Wei and Tang, Jiliang and Qi, Guo Jun and Aggarwal, Charu C and Huang, Thomas S},
	Booktitle = {Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
    Pages = {119--128},
	Title = {Heterogeneous network embedding via deep architectures},
	Year = {2015}}

@article{chen2012svdfeature,
  title={Svdfeature: a toolkit for feature-based collaborative filtering},
  author={Chen, Tianqi and Zhang, Weinan and Lu, Qiuxia and Chen, Kailong and Zheng, Zhao and Yu, Yong},
  journal={Journal of Machine Learning Research},
  volume={13},
  pages={3619--3622},
  year={2012}
}

@article{chen2017harp,
  title={HARP: Hierarchical Representation Learning for Networks},
  author={Chen, Haochen and Perozzi, Bryan and Hu, Yifan and Skiena, Steven},
  journal={arXiv preprint arXiv:1706.07845},
  year={2017}
}

@inproceedings{chen2017task,
	Author = {Chen, Ting and Sun, Yizhou},
	Booktitle = {Proceedings of the 10th ACM International Conference on Web Search and Data Mining},
	Pages = {295--304},
	Title = {Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification},
	Year = {2017}
}

@article{cui2017survey,
  title={A Survey on Network Embedding},
  author={Cui, Peng and Wang, Xiao and Pei, Jian and Zhu, Wenwu},
  journal={arXiv preprint arXiv:1711.08752},
  year={2017}
}

@article{cui2018general,
  title={General Knowledge Embedded Image Representation Learning},
  author={Cui, Peng and Liu, Shaowei and Zhu, Wenwu},
  journal={IEEE Transactions on Multimedia},
  volume={20},
  number={1},
  pages={198--207},
  year={2018},
  publisher={IEEE}
}

@inproceedings{dias2008value,
  title={The value of personalised recommender systems to e-business: a case study},
  author={Dias, M Benjamin and Locher, Dominique and Li, Ming and El-Deredy, Wael and Lisboa, Paulo JG},
  booktitle={Proceedings of the 2nd ACM Conference on Recommender Systems},
  pages={291--294},
  year={2008}
}

@inproceedings{dong2017metapath2vec,
	Author = {Dong, Yuxiao and Chawla, Nitesh V and Swami, Ananthram},
	Booktitle = {Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	Pages = {135--144},
	Title = {metapath2vec: Scalable Representation Learning for Heterogeneous Networks},
	Year = {2017}}

@inproceedings{feng2012incorporating,
	Author = {Feng, Wei and Wang, Jianyong},
	Booktitle = {Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	Pages = {1276--1284},
	Title = {Incorporating heterogeneous information for personalized tag recommendation in social tagging systems},
	Year = {2012}}

@inproceedings{fu2017hin2vec,
  title={HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning},
  author={Fu, Taoyang and Lee, WangChien and Lei, Zhen},
  booktitle={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
  pages={1797--1806},
  year={2017},
  organization={ACM}
}

@inproceedings{gantner2010learning,
  title={Learning attribute-to-feature mappings for cold-start recommendations},
  author={Gantner, Zeno and Drumond, Lucas and Freudenthaler, Christoph and Rendle, Steffen and Schmidt-Thieme, Lars},
  booktitle={Proceedings of the 10th IEEE International Conference on Data Mining series},
  pages={176--185},
  year={2010}
}

@inproceedings{grover2016node2vec,
	Author = {Grover, Aditya and Leskovec, Jure},
	Booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	Pages = {855--864},
	Title = {node2vec: scalable feature learning for networks},
	Year = {2016}}

@incollection{he2010social,
	Author = {He, Jianming and Chu, Wesley W},
	Booktitle = {Data Mining for Social Network Data},
	Pages = {47--74},
	Publisher = {Springer},
	Title = {A social network-based recommender system (SNRS)},
	Year = {2010}}

@inproceedings{he2016vbpr,
  title={VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback.},
  author={He, Ruining and McAuley, Julian},
  booktitle={Proceedings of the 30th AAAI Conference on Artificial Intelligence},
  pages={144--150},
  year={2016}
}

@article{hoff2002latent,
  title={Latent space approaches to social network analysis},
  author={Hoff, Peter D and Raftery, Adrian E and Handcock, Mark S},
  journal={Journal of the American Statistical Association},
  volume={97},
  number={460},
  pages={1090--1098},
  year={2002}
}

@inproceedings{hong2013co,
  title={Co-factorization machines: modeling user interests and predicting individual decisions in twitter},
  author={Hong, Liangjie and Doumith, Aziz S and Davison, Brian D},
  booktitle={Proceedings of the 6th ACM International Conference on Web Search and Data Mining},
  pages={557--566},
  year={2013}
}

@article{kipf2016semi,
  title={Semi-supervised classification with graph convolutional networks},
  author={Kipf, Thomas N and Welling, Max},
  journal={arXiv preprint arXiv:1609.02907},
  year={2016}
}

@article{koren2009matrix,
  title={Matrix factorization techniques for recommender systems},
  author={Koren, Yehuda and Bell, Robert and Volinsky, Chris},
  journal={Computer},
  volume={42},
  number={8},
  year={2009}
}

@incollection{koren2015advances,
	Author = {Koren, Yehuda and Bell, Robert},
	Booktitle = {Recommender systems handbook},
	Pages = {77--118},
	Title = {Advances in collaborative filtering},
	Year = {2015}}

@inproceedings{krohn2012multi,
  title={Multi-relational matrix factorization using bayesian personalized ranking for social network data},
  author={Krohn-Grimberghe, Artus and Drumond, Lucas and Freudenthaler, Christoph and Schmidt-Thieme, Lars},
  booktitle={Proceedings of the 5th ACM International Conference on Web Search and Data Mining},
  pages={173--182},
  year={2012}
}

@inproceedings{lao2010fast,
	Author = {Lao, Ni and Cohen, William W},
	Booktitle = {Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	Pages = {881--888},
	Title = {Fast query execution for retrieval models based on path-constrained random walks},
	Year = {2010}}

@article{lao2010relational,
  title={Relational retrieval using a combination of path-constrained random walks},
  author={Lao, Ni and Cohen, William W},
  journal={Machine Learning},
  volume={81},
  number={1},
  pages={53--67},
  year={2010}
}

@inproceedings{liang2016factorization,
  title={Factorization meets the item embedding: Regularizing matrix factorization with item co-occurrence},
  author={Liang, Dawen and Altosaar, Jaan and Charlin, Laurent and Blei, David M},
  booktitle={Proceedings of the 10th ACM Conference on Recommender Systems},
  pages={59--66},
  year={2016}
}

@inproceedings{ling2014ratings,
  title={Ratings meet reviews, a combined approach to recommend},
  author={Ling, Guang and Lyu, Michael R and King, Irwin},
  booktitle={Proceedings of the 8th ACM Conference on Recommender Systems},
  pages={105--112},
  year={2014}
}

@inproceedings{liu2010personalized,
	Author = {Liu, Jiahui and Dolan, Peter and Pedersen, Elin R{\o}nby},
	Booktitle = {Proceedings of the 15th International Conference on Intelligent User Interfaces},
	Pages = {31--40},
	Title = {Personalized news recommendation based on click behavior},
	Year = {2010}}

@inproceedings{luo2011cauchy,
	Author = {Luo, Dijun and Nie, Feiping and Huang, Heng and Ding, Chris H},
	Booktitle = {Proceedings of the 28th International Conference on Machine Learning},
	Pages = {553--560},
	Title = {Cauchy graph embedding},
	Year = {2011}}

@inproceedings{luo2014hete,
	Author = {Luo, Chen and Pang, Wei and Wang, Zhe and Lin, Chenghua},
	Booktitle = {Proceedings of the 14th IEEE International Conference on Data Mining series},
	Pages = {917--922},
	Title = {Hete-cf: Social-based collaborative filtering recommendation using heterogeneous relations},
	Year = {2014}}

@inproceedings{ma2011recommender,
	Author = {Ma, Hao and Zhou, Dengyong and Liu, Chao and Lyu, Michael R and King, Irwin},
	Booktitle = {Proceedings of the fourth ACM International Conference on Web Search and Data Mining},
	Pages = {287--296},
	Title = {Recommender systems with social regularization},
	Year = {2011}}

@article{mikolov2013efficient,
  title={Efficient estimation of word representations in vector space},
  author={Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
  journal={arXiv preprint arXiv:1301.3781},
  year={2013}
}

@inproceedings{mnih2008probabilistic,
	Author = {Mnih, Andriy and Salakhutdinov, Ruslan R},
	Booktitle = {Advances in Neural Information Processing Systems},
	Pages = {1257--1264},
	Title = {Probabilistic matrix factorization},
	Year = {2008}
}

@inproceedings{ou2013comparing,
  title={Comparing apples to oranges: a scalable solution with heterogeneous hashing},
  author={Ou, Mingdong and Cui, Peng and Wang, Fei and Wang, Jun and Zhu, Wenwu and Yang, Shiqiang},
  booktitle={Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={230--238},
  year={2013},
  organization={ACM}
}

@article{pan2016tri,
  title={Tri-party deep network representation},
  author={Pan, Shirui and Wu, Jia and Zhu, Xingquan and Zhang, Chengqi and Wang, Yang},
  journal={Network},
  volume={11},
  number={9},
  pages={12},
  year={2016}
}


@inproceedings{perozzi2014deepwalk,
	Author = {Perozzi, Bryan and Al-Rfou, Rami and Skiena, Steven},
	Booktitle = {Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	Pages = {701--710},
	Title = {Deepwalk: Online learning of social representations},
	Year = {2014}}

@inproceedings{rendle2010factorization,
  title={Factorization machines},
  author={Rendle, Steffen},
  booktitle={Proceedings of the 10th IEEE International Conference on Data Mining series},
  pages={995--1000},
  year={2010}
}

@article{rendle2012factorization,
	Author = {Rendle, Steffen},
	Journal = {ACM Transactions on Intelligent Systems and Technology},
	Number = {3},
	Pages = {57},
	Title = {Factorization machines with libfm},
	Volume = {3},
	Year = {2012}}

@incollection{schafer2007collaborative,
	Author = {Schafer, J Ben and Frankowski, Dan and Herlocker, Jon and Sen, Shilad},
	Booktitle = {The Adaptive Web},
	Pages = {291--324}
	Title = {Collaborative filtering recommender systems},
	Year = {2007}}

@inproceedings{sedhain2017low,
  title={Low-Rank Linear Cold-Start Recommendation from Social Data.},
  author={Sedhain, Suvash and Menon, Aditya Krishna and Sanner, Scott and Xie, Lexing and Braziunas, Darius},
  booktitle={Proceedings of the 31st AAAI Conference on Artificial Intelligence},
  pages={1502--1508},
  year={2017}
}

@inproceedings{shi2012adaptive,
  title={Adaptive diversification of recommendation results via latent factor portfolio},
  author={Shi, Yue and Zhao, Xiaoxue and Wang, Jun and Larson, Martha and Hanjalic, Alan},
  booktitle={Proceedings of the 35th international ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={175--184},
  year={2012},
}

@article{shi2014hetesim,
	Author = {Shi, Chuan and Kong, Xiangnan and Huang, Yue and P. S. Yu and Wu, Bin},
	Journal = {IEEE Transactions on Knowledge and Data Engineering},
	Number = {10},
	Pages = {2479--2492},
	Publisher = {IEEE},
	Title = {Hetesim: A general framework for relevance measure in heterogeneous networks},
	Volume = {26},
	Year = {2014}}

@inproceedings{shi2015semantic,
	Author = {Shi, Chuan and Zhang, Zhiqiang and Luo, Ping and P. S. Yu and Yue, Yading and Wu, Bin},
	Booktitle = {Proceedings of the 24th ACM International on Conference on Information and Knowledge Management},
	Pages = {453--462},
	Title = {Semantic path based personalized recommendation on weighted heterogeneous information networks},
	Year = {2015}}

@article{shi2016integrating,
	Author = {Shi, Chuan and Liu, Jian and Zhuang, Fuzhen and P. S. Yu and Wu, Bin},
	Date-Modified = {2017-09-09 14:31:06 +0000},
	Journal = {Knowledge and Information System},
	Number = {3},
	Pages = {835--859},
	Title = {Integrating heterogeneous information via flexible regularization framework for recommendation},
	Volume = {49},
	Year = {2016}}

@incollection{shi2017heterogeneous,
	Author = {Shi, Chuan and P. S. Yu},
	Booktitle = {Data Analytics},
	Pages = {1--227},
	Publisher = {Springer},
	Title = {Heterogeneous Information Network Analysis and Applications},
	Year = {2017}}

@article{shi2017survey,
	Author = {Shi, Chuan and Li, Yitong and Zhang, Jiawei and Sun, Yizhou and P. S. Yu},
	Journal = {IEEE Transactions on Knowledge and Data Engineering},
	Number = {1},
	Pages = {17--37},
	Publisher = {IEEE},
	Title = {A survey of heterogeneous information network analysis},
	Volume = {29},
	Year = {2017}}

@inproceedings{sedhain2014social,
  title={Social collaborative filtering for cold-start recommendations},
  author={Sedhain, Suvash and Sanner, Scott and Braziunas, Darius and Xie, Lexing and Christensen, Jordan},
  booktitle={Proceedings of the 8th ACM Conference on Recommender systems},
  pages={345--348},
  year={2014},
  organization={ACM}
}

@inproceedings{srebro2003weighted,
	Author = {Srebro, Nathan and Jaakkola, Tommi},
	Booktitle = {Proceedings of the 20th International Conference on Machine Learning},
	Pages = {720--727},
	Title = {Weighted low-rank approximations},
	Year = {2003}}

@inproceedings{sunmrlr,
  title={MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation},
  author={Sun, Zhu and Yang, Jie and Zhang, Jie and Bozzon, Alessandro and Chen, Yu and Xu, Chi},
  booktitle={Proceedings of the 26th International Joint Conference on Artificial Intelligence},
  pages={2807--2813},
  year={2017}
}

@inproceedings{sun2009ranking,
  title={Ranking-based clustering of heterogeneous information networks with star network schema},
  author={Sun, Yizhou and Yu, Yintao and Han, Jiawei},
  booktitle={Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={797--806},
  year={2009}
}

@article{sun2011pathsim,
	Author = {Sun, Yizhou and Han, Jiawei and Yan, Xifeng and Yu, Philip S and Wu, Tianyi},
	Journal = {Proceedings of the 37th Very Large Data Bases},
	Number = {11},
	Pages = {992--1003},
	Title = {Pathsim: Meta path-based top-k similarity search in heterogeneous information networks},
	Volume = {4},
	Year = {2011}}

@article{sun2012mining,
	Author = {Sun, Yizhou and Han, Jiawei},
	Journal = {Synthesis Lectures on Data Mining and Knowledge Discovery},
	Title = {Mining heterogeneous information networks: principles and methodologies},
    Pages = {1--159},
	Year = {2012}}

@article{sun2013mining,
  title={Mining heterogeneous information networks: a structural analysis approach},
  author={Sun, Yizhou and Han, Jiawei},
  journal={ACM SIGKDD Explorations Newsletter},
  volume={14},
  number={2},
  pages={20--28},
  year={2013}
}

@article{Sun2013Meta,
	Author = {Sun, Yizhou and Han, Jiawei},
	Journal = {Journal of Tsinghua University(Science and Technology)},
	Number = {4},
	Pages = {329-338},
	Title = {Meta-path-based search and mining in heterogeneous information networks},
	Volume = {18},
	Year = {2013}}

@inproceedings{tang2015line,
	Author = {Tang, Jian and Qu, Meng and Wang, Mingzhe and Zhang, Ming and Yan, Jun and Mei, Qiaozhu},
	Booktitle = {Proceedings of the 24th International Conference on World Wide Web},
	Pages = {1067--1077},
	Title = {Line: Large-scale information network embedding},
	Year = {2015}}

@inproceedings{tang2015pte,
  title={Pte: Predictive text embedding through large-scale heterogeneous text networks},
  author={Tang, Jian and Qu, Meng and Mei, Qiaozhu},
  booktitle={Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={1165--1174},
  year={2015}
}

@inproceedings{tu2016max,
  title={Max-Margin DeepWalk: Discriminative Learning of Network Representation.},
  author={Tu, Cunchao and Zhang, Weicheng and Liu, Zhiyuan and Sun, Maosong},
  booktitle={Proceedings of the 25th International Joint Conference on Artificial Intelligence},
  pages={3889--3895},
  year={2016}
}

@inproceedings{vaz2012improving,
	Author = {Vaz, Paula Cristina and Martins de Matos, David and Martins, Bruno and Calado, Pavel},
	Booktitle = {Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries},
	Pages = {387--388},
	Title = {Improving a hybrid literary book recommendation system through author ranking},
	Year = {2012}}

@inproceedings{wang2016structural,
	Author = {Wang, Daixin and Cui, Peng and Zhu, Wenwu},
	Booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	Pages = {1225--1234},
	Title = {Structural deep network embedding},
	Year = {2016}}

@inproceedings{wei2017cross,
  title={Cross View Link Prediction by Learning Noise-resilient Representation Consensus},
  author={Wei, Xiaokai and Xu, Linchuan and Cao, Bokai and Yu, Philip S},
  booktitle={Proceedings of the 26th International Conference on World Wide Web},
  pages={1611--1619},
  year={2017}
}

@article{willmott2005advantages,
  title={Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance},
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  journal={Climate Research},
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@inproceedings{xu2017embedding,
  title={Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks},
  author={Xu, Linchuan and Wei, Xiaokai and Cao, Jiannong and Yu, Philip S},
  booktitle={Proceedings of the 10th ACM International Conference on Web Search and Data Mining},
  pages={741--749},
  year={2017}
}

@article{yan2007graph,
  title={Graph embedding and extensions: A general framework for dimensionality reduction},
  author={Yan, Shuicheng and Xu, Dong and Zhang, Benyu and Zhang, Hong-Jiang and Yang, Qiang and Lin, Stephen},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={29},
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@inproceedings{yang2015network,
  title={Network Representation Learning with Rich Text Information.},
  author={Yang, Cheng and Liu, Zhiyuan and Zhao, Deli and Sun, Maosong and Chang, Edward Y},
  booktitle={Proceedings of the 24th International Joint Conference on Artificial Intelligence},
  pages={2111--2117},
  year={2015}
}

@inproceedings{ye2011exploiting,
  title={Exploiting geographical influence for collaborative point-of-interest recommendation},
  author={Ye, Mao and Yin, Peifeng and Lee, Wang-Chien and Lee, Dik-Lun},
  booktitle={Proceedings of the 34th international ACM SIGIR conference on Research and Development in Information Retrieval},
  pages={325--334},
  year={2011}
}

@inproceedings{yin2013lcars,
	Author = {Yin, Hongzhi and Sun, Yizhou and Cui, Bin and Hu, Zhiting and Chen, Ling},
	Booktitle = {Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	Pages = {221--229},
	Title = {Lcars: a location-content-aware recommender system},
	Year = {2013}}

@article{yu2013collaborative,
	Author = {Yu, Xiao and Ren, Xiang and Gu, Quanquan and Sun, Yizhou and Han, Jiawei},
	Journal = {Proceedings of 1st International Joint Conference on Artificial Intelligence Workshop on Heterogeneous Information Network Analysis},
	Title = {Collaborative filtering with entity similarity regularization in heterogeneous information networks},
	Year = {2013}}

@inproceedings{yu2013recommendation,
  title={Recommendation in heterogeneous information networks with implicit user feedback},
  author={Yu, Xiao and Ren, Xiang and Sun, Yizhou and Sturt, Bradley and Khandelwal, Urvashi and Gu, Quanquan and Norick, Brandon and Han, Jiawei},
  booktitle={Proceedings of the 7th ACM conference on Recommender Systems},
  pages={347--350},
  year={2013}
}

@inproceedings{yu2014personalized,
  title={Personalized entity recommendation: A heterogeneous information network approach},
  author={Yu, Xiao and Ren, Xiang and Sun, Yizhou and Gu, Quanquan and Sturt, Bradley and Khandelwal, Urvashi and Norick, Brandon and Han, Jiawei},
  booktitle={Proceedings of the 7th ACM International Conference on Web Search and Data Mining},
  pages={283--292},
  year={2014}
}

@inproceedings{zhang2016collaborative,
  title={Collaborative knowledge base embedding for recommender systems},
  author={Zhang, Fuzheng and Yuan, Nicholas Jing and Lian, Defu and Xie, Xing and Ma, Wei-Ying},
  booktitle={Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={353--362},
  year={2016}
}

@inproceedings{zhang2016homophily,
  title={Homophily, Structure, and Content Augmented Network Representation Learning},
  author={Zhang, Daokun and Yin, Jie and Zhu, Xingquan and Zhang, Chengqi},
  booktitle={Proceedings of the 16th IEEE International Conference on Data Mining series},
  pages={609--618},
  year={2016}
}

@inproceedings{zhao2017meta,
  title={Meta-graph based recommendation fusion over heterogeneous information networks},
  author={Zhao, Huan and Yao, Quanming and Li, Jianda and Song, Yangqiu and Lee, Dik Lun},
  booktitle={Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={635--644},
  year={2017},
  organization={ACM}
}

@inproceedings{zheng2016dual,
	Author = {Zheng, Jing and Liu, Jian and Shi, Chuan and Zhuang, Fuzhen and Li, Jingzhi and Wu, Bin},
	Booktitle = {Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining},
	Pages = {542--554},
	Title = {Dual similarity regularization for recommendation},
	Year = {2016}}

@inproceedings{zheng2017joint,
  title={Joint deep modeling of users and items using reviews for recommendation},
  author={Zheng, Lei and Noroozi, Vahid and Yu, Philip S},
  booktitle={Proceedings of the 10th ACM International Conference on Web Search and Data Mining},
  pages={425--434},
  year={2017}
}

@article{zheng2017recommendation,
	Author = {Zheng, Jing and Liu, Jian and Shi, Chuan and Zhuang, Fuzhen and Li, Jingzhi and Wu, Bin},
	Journal = {International Journal of Data Science and Analytics},
	Number = {1},
	Pages = {35--48},
	Title = {Recommendation in heterogeneous information network via dual similarity regularization},
	Volume = {3},
	Year = {2017}}

@inproceedings{zhu2011social,
	Author = {Zhu, Jianke and Ma, Hao and Chen, Chun and Bu, Jiajun},
	Booktitle = {Proceedings of the 25th AAAI Conference on Artificial Intelligence},
	Pages = {158--163},
	Title = {Social Recommendation Using Low-Rank Semidefinite Program},
	Year = {2011}}
